According to the selected genes related to DMRs, we calculated the hypergeometric distribution
of these genes with some specific branches in GO classification.
Functional enrichment was tested from this contingency table using a hypergeometric distribution
. The hypergeometric distribution
applies to sampling without replacement from a finite population whose elements can be classified into two mutually exclusive categories: has/does not have a target relationship.
Haq, "An application of a Hypergeometric distribution
series on certain analytic functions," Science International, vol.
In this article, we give the analogous conditions an integral operator ( , , , ) H k N m z defined by the hypergeometric distribution
belong to the ( , ) T and C .
 proposed a computational model based on the hypergeometric distribution
to infer potential miRNA-OMIM disease associations by prioritizing the entire human microRNAome for diseases of interest.
From a theoretical standpoint, statistical sampling for tests of controls generally should be based on the hypergeometric distribution
. This distribution can be used to calculate exact probabilities when sampling is without replacement, which is appropriate for most audit applications.
The formula for the hypergeometric distribution
may be written as follows:
A potential problem of significance testing using GO annotations is that the hypergeometric distribution
p-values are biased and sensitive to the total genes (m) used in the tests, which are not truly representing the entire genome because of the selection biases in array design and incomplete process of GO annotation.
(b.) Assumes that success have a hypergeometric distribution
. SOURCES: Japanese Ministry of Finance; and Bloomberg Financial Information Services.
A choice of a panel of n surgeons of whom m are designated as low-quality outliers in a market in which the choice set includes N surgeons, M of whom are low-quality outliers, follows the hypergeometric distribution
(Bishop, Feinberg, and Holland 1975).